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Explain how the relationship between the mean and median provides information about the symmetry or skewness of the data’s distribution.

Short Answer

Expert verified

If the mean is to the right, the distribution is skewed to the right.

If the mean is to the left, the distribution is skewed to the left.

Step by step solution

01

Definitions

A mean is a way to find the central tendency value that gives the average around which most of the observations lie.

A median represents that value of observation which lies in the middle of all the observations. 50% of observations lie above the median, and 50% lie below the median.

02

Relationship between the mean and the median

When the mean and the median are the same, it means that the distribution is symmetric.

The mean is influenced by the outliers in the distribution, whereas the median is not. Therefore, where the mean lies around the median determines the skewness of the data.

If the mean is greater than the median, the distribution is skewed to the right, and if the mean is lesser than the median, the distribution is skewed to the left.

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Most popular questions from this chapter

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